Lead Infrastructure Engineer - NCS Telecom Implementation in Bangalore, भारत
JPMorgan Chase & Co.
HybridMix of office and remote
ContractFixed-term or freelance
Bangalore, भारत
Job Description
Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies.
As a Lead Infrastructure Engineer at JPMorgan Chase within the Infrastructure Platforms team, you will play a critical role in building, and optimizing the infrastructure platforms that support our global operations. You will drive technical strategy, mentor fellow engineers, and partner with cross-functional teams to deliver highly available, secure, and performant systems. Your expertise will directly influence how we scale our technology to meet evolving business demands.
Job responsibilities
Orchestrate post-order carrier milestones across the delivery lifecycle; track progress, identify risks, and drive mitigation to keep delivery predictable.
Coordinate install and cutover execution, including site/provider scheduling, internal handoffs, maintenance windows, and execution readiness.
Plan and execute testing aligned to agreed acceptance criteria; capture and manage test evidence and implementation exceptions through to resolution or documented acceptance.
Complete BAU handover with closure evidence and required metadata; ensure documentation quality supports operational readiness and auditability.
Execute decommission/disconnect activities where in scope, with appropriate governance and closure evidence.
Partner with the Demand Managers for customer-facing status communications, providing accurate milestone updates, risks, and mitigation plans.
Coordinate with telecom providers, vendors, and internal engineering teams end-to-end – from design through acceptance testing and BAU handover – driving performance against SLAs.
Manage change control inputs, cost governance inputs, and documentation hygiene across connectivity implementations.
Strongly considers upstream and downstream data and systems or technical implications and advises on mitigation actions
Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.
Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
Required qualifications, capabilities, and skills
Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
Proven implementation delivery / service delivery experience, within a global financial or regulated enterprise environment.
Deep knowledge of networking and telecommunications technologies (Layers 0–3), including dark fiber, DWDM, Ethernet, IP-VPN, DIA, broadband, cellular, and satellite connectivity.
Experience coordinating delivery with telecom service providers and managed service providers, including contract and SLA oversight.
Strong stakeholder management and communication skills, with the ability to influence and build trust across business and technical domains.
Strong organizational and time management skills, with the ability to manage multiple concurrent implementations across geographies.
Working familiarity with cloud connectivity and hybrid architectures (e.g., public cloud on-ramps, private connectivity patterns) and how they impact implementation planning and testing.
Deep knowledge of one or more areas of infrastructure engineering such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience or performance assessments
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds
Preferred qualifications, capabilities, and skills
Experience using Atlassian tools (Jira and Confluence) for workflow, documentation, reporting, and closure evidence management.
Familiarity with cloud connectivity and hybrid architectures.
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